From the course: Data Science Foundations: Fundamentals
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Agency of algorithms and decision-makers
From the course: Data Science Foundations: Fundamentals
Agency of algorithms and decision-makers
- [Instructor] When we think about artificial intelligence, and how it works, and how it might make decisions, and act on its own, we tend to think of things like this. You've got the robot holding a computer right next to you, but the fact is, most of the time when we're dealing with artificial intelligence, it's something a lot closer to this. Nevertheless, I want to suggest at least four ways that work in data science can contribute to the interplay of human and artificial intelligence of personal and machine agency. The first is what I call simple recommendations, and then there's human-in-the-loop decision making, then human-accessible decisions, and then machine-centric processing and action. And I want to talk a little more about each of these. Let's start with recommendations. This is where the algorithm processes your data and makes a recommendation or a suggestion to you, and you can either take it or leave it. A few places where this approach shows up are things like, for…
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